QRS detection and classification in Holter ECG data in one inference step

Abstract While various QRS detection and classification methods were developed in the past, the Holter ECG data acquired during daily activities by wearable devices represent new challenges such as increased noise and artefacts due to patient movements. Here, we present a deep-learning model to dete...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Scientific Reports
المؤلفون الرئيسيون: Adam Ivora, Ivo Viscor, Petr Nejedly, Radovan Smisek, Zuzana Koscova, Veronika Bulkova, Josef Halamek, Pavel Jurak, Filip Plesinger
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2022-07-01
الوصول للمادة أونلاين:https://doi.org/10.1038/s41598-022-16517-4

الانترنت

https://doi.org/10.1038/s41598-022-16517-4

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